{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,21]],"date-time":"2026-01-21T07:44:26Z","timestamp":1768981466637,"version":"3.49.0"},"reference-count":25,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,10,26]],"date-time":"2022-10-26T00:00:00Z","timestamp":1666742400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,10,26]],"date-time":"2022-10-26T00:00:00Z","timestamp":1666742400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,10,26]]},"DOI":"10.1109\/metroxraine54828.2022.9967647","type":"proceedings-article","created":{"date-parts":[[2022,12,5]],"date-time":"2022-12-05T23:43:02Z","timestamp":1670283782000},"page":"248-253","source":"Crossref","is-referenced-by-count":9,"title":["DDPG Based End-To-End Driving Enhanced With Safe Anomaly Detection Functionality for Autonomous Vehicles"],"prefix":"10.1109","author":[{"given":"Giacomo","family":"Basile","sequence":"first","affiliation":[{"name":"DIETI, Universit&#x00E0; degli Studi di Napoli Federico II, Via Claudio 21,Napoli,Italy,80125"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alberto","family":"Petrillo","sequence":"additional","affiliation":[{"name":"DIETI, Universit&#x00E0; degli Studi di Napoli Federico II, Via Claudio 21,Napoli,Italy,80125"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stefania","family":"Santini","sequence":"additional","affiliation":[{"name":"DIETI, Universit&#x00E0; degli Studi di Napoli Federico II, Via Claudio 21,Napoli,Italy,80125"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","first-page":"119","article-title":"Key technique of deep neural network and its applications in autonomous driving","volume":"10","author":"shengbo","year":"2019","journal-title":"Journal of Automotive Safety and Energy"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"lecun","year":"2015","journal-title":"Nature"},{"key":"ref12","article-title":"Alvinn: An autonomous land vehicle in a neural network","volume":"1","author":"pomerleau","year":"1988","journal-title":"Advances in neural information processing systems"},{"key":"ref13","article-title":"Off-road obstacle avoidance through end-to-end learning","volume":"18","author":"muller","year":"2005","journal-title":"Advances in neural information processing systems"},{"key":"ref14","article-title":"End to end learning for self-driving cars","author":"bojarski","year":"2016","journal-title":"arXiv preprint arXiv 1604 07316"},{"key":"ref15","article-title":"Interpretable end-to-end urban autonomous driving with latent deep reinforcement learning","author":"chen","year":"2021","journal-title":"IEEE Transactions on Intelligent Transportation Systems"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1049\/iet-its.2019.0317"},{"key":"ref17","article-title":"Deep reinforcement learning for simulated autonomous vehicle control","volume":"2016","author":"yu","year":"2016","journal-title":"Course Project Reports Winter"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8460934"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793742"},{"key":"ref4","article-title":"A survey of end-to-end driving: Architectures and training methods","author":"tampuu","year":"2020","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2018.2883485"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2019.2933690"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3390\/app10103543"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2017.8317797"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2020.3032652"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2019.2962601"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s42154-021-00151-3"},{"key":"ref1","article-title":"Distributed double-layer control for coordination of multi-platoons approaching road restriction in the presence of iov communication delays","author":"caiazzo","year":"2021","journal-title":"IEEE Internet of Things Journal"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.sna.2020.111990"},{"key":"ref22","author":"lillicrap","year":"2015","journal-title":"arXiv preprint arXiv 1509 02971"},{"key":"ref21","author":"mnih","year":"2013","journal-title":"arXiv preprint arXiv 1312 5602"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.54.2084"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-007-0105-3"},{"key":"ref25","author":"kingma","year":"2014","journal-title":"arXiv preprint arXiv 1412 6980"}],"event":{"name":"2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)","location":"Rome, Italy","start":{"date-parts":[[2022,10,26]]},"end":{"date-parts":[[2022,10,28]]}},"container-title":["2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9967443\/9967445\/09967647.pdf?arnumber=9967647","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,26]],"date-time":"2022-12-26T19:43:20Z","timestamp":1672083800000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9967647\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,26]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/metroxraine54828.2022.9967647","relation":{},"subject":[],"published":{"date-parts":[[2022,10,26]]}}}